AI Engineer II

Proofpoint

. Design and build internal AI-powered tools and web applications end-to-end, including front-end, back-end, data, API, and LLM/AI integrations .

Posted 9/21/2026full-timeUnited StatesJunior💰 $93,300 - $146,630 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI-powered tools and web applications, with strong proficiency in Python and SQL for data analysis and application development. Capable of integrating machine learning models and APIs while effectively communicating technical concepts to diverse stakeholders.

Highest-signal resume keywords

Python ProficiencySQL ExperienceMachine Learning and Statistical ModelingREST API Development with FastAPIExperience with Snowflake

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentData AnalysisStatistical ModelingFeature EngineeringModel EvaluationAI Model IntegrationWorkflow AutomationTesting and DocumentationPerformance EvaluationTechnical Design

Soft Skills

Problem-SolvingCommunicationCollaborationStakeholder EngagementAdaptability

Tools & Technologies

FastAPIReactTypeScriptDockerAWSSnowflakeSalesforceETL/ELT PipelinesLLM APIsCloud Data Platforms

Industry Keywords

AI-Powered ToolsWeb ApplicationsData ProductsCross-Functional CollaborationRevenue Analytics

Tech Stack

Tools & technologies

AWSCloudDockerETLPythonReactSQLTypeScript

About the role

Key responsibilities & impact

Design and build internal AI-powered tools and web applications end-to-end, including front-end, back-end, data, API, and LLM/AI integrations
Own AI applications, workflow automations, and systems integrations from requirements gathering and technical design through production deployment and iteration
Partner with Sales Operations, Revenue Analytics, and cross-functional stakeholders to translate business problems into scalable technical solutions that deliver measurable value
Evaluate and integrate new AI models, APIs, frameworks, and development approaches based on business needs, technical feasibility, and performance
Develop production-quality applications with appropriate testing, documentation, monitoring, and maintainability
Troubleshoot and improve solutions post-launch based on user feedback and performance
Build reusable AI capabilities, integrations, documentation, and development patterns across teams and use cases
Communicate technical concepts, solution designs, tradeoffs, and outcomes to technical and non-technical stakeholders
Present work to cross-functional audiences

Requirements

What you’ll need

1–2 years of hands-on experience building software, data products, or AI-powered tools through professional, internship, academic, or substantial independent project experience
Strong proficiency in Python and SQL, with experience in data analysis, application development, and statistical or machine-learning workflows
Hands-on experience with machine learning and statistical modeling, including regression, classification, feature engineering, and model evaluation
Experience working with large structured datasets using Snowflake, relational databases, or comparable cloud data platforms
Experience developing or integrating REST APIs and backend services using FastAPI or similar frameworks, along with familiarity with modern web application development
Demonstrated ability to ship functional tools or applications to real users and evaluate their performance using appropriate technical or quantitative measures
Strong problem-solving, communication, and collaboration skills, including the ability to learn unfamiliar technologies, incorporate stakeholder feedback, and explain technical tradeoffs to non-technical audiences
Preferred: Experience developing applications using LLMs, RAG, embeddings/vector search, prompt engineering, and LLM APIs such as OpenAI or Anthropic
Preferred: Familiarity with AI agents, tool/function calling, intent routing, retrieval systems, and workflow orchestration
Preferred: Experience with React and TypeScript or another modern front-end framework
Preferred: Experience with Docker, AWS, or comparable cloud and deployment technologies
Preferred: Familiarity with ETL/ELT pipelines, data modeling, JSON/metadata mappings, and multi-system data integrations
Preferred: Experience with Snowflake, Salesforce, or other GTM/revenue data systems

Benefits

Comp & perks

Competitive compensation
Comprehensive benefits
Career success on your terms
Flexible work environment
Annual wellness and community outreach days
Always on recognition for your contributions
Global collaboration and networking opportunities
Flexible time off
Comprehensive well-being program
Two paid Wellbeing Days per year
Two paid Volunteer Days per year
Three-week Work from Anywhere option
Variable compensation and/or equity may be available